PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-05-08 10:21:33.254541+00:00 (UTC)
In US/Central Time, this is 2024-05-08 05:21:33.254541-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/471bbd62e911b43347838f170b6f3f4ee4f1f8b235512c8f4ad175401e0fb059.png
We are just generating a random time serie here.
../_images/aace4d3be5ac1b1bb744811e8cc32be0f79adc2727bbc72e267dc0d594077be4.png
../_images/b7f198ba2428b6cdeebdb529b5755ed9bcfcf209cd88a1c56586b8a2901e7586.png